Data Scientist II

Building on our past. Ready for the future

Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now.

At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI.

What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace.

Position Title (Global):                                                    Sr ML Engineer

MAJOR ACCOUNTABILITIES OF POSITION:

·       Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class

·       Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service.

·       Mentor team member for AI/ML development

·       Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset.

·       Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production.

·       Development of  the ML algorithms that could be used to solve a given problem and ranking them by their success probability.

·       Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

Knowledge / Experience / Competencies Required

IT Skills & Experience (Priority wise):

1.       Proven experience as a Data Scientist– AI/ML or similar role

2.       Ability to write robust code in Python.

3.       Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc.

4.       Experience in supervised/semi-supervised and unsupervised machine learning algorithms.

5.       Experience using the cognitive APIs machine learning studios on cloud.

6.       Up to speed on NLP (Summarization, Translation models, Named Entity Recognition)

7.       Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN)

8.       Understanding of complete AI/ML project life cycle.

9.       Understanding of data structures, data modelling and software architecture.

People Skills:

·       Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture

·       Ability to work independently and/or as part of cross-domain big team

·       Professional and open communication to all internal and external interfaces.

·       Accurately report to management in a timely and effective manner.

Other Skills:

·       Outstanding analytical and problem-solving skills

·       Taking ownership of the tasks in hand and being accountable for deliverables.

We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law.

We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.

And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology.

Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.